Local-Scale Variation in Land Use Practice Supports a Diverse Carnivore Guild on Namibian Multiple-Use Rangeland

2021 ◽  
Vol 79 ◽  
pp. 64-76
Author(s):  
Stijn Verschueren ◽  
Willem D. Briers-Louw ◽  
Pedro Monterroso ◽  
Laurie Marker
Keyword(s):  
Land Use ◽  
Local Scale ◽  
Multiple Use ◽  
Scale Variation

scholarly journals Analyses of Nocturnal Temperature Cooling-Rate Response to Historical Local-Scale Urban Land-Use/Land Cover Change

2011 ◽  
Vol 50 (9) ◽  
pp. 1872-1883 ◽  
Author(s):  
Winston T. L. Chow ◽  
Bohumil M. Svoma
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Cooling Rate ◽  
Rural Areas ◽  
Urban Areas ◽  
Local Scale ◽  
Urban Land Use ◽  
Cooling Rates ◽  
Near Surface ◽  
Over Time

AbstractUrbanization affects near-surface climates by increasing city temperatures relative to rural temperatures [i.e., the urban heat island (UHI) effect]. This effect is usually measured as the relative temperature difference between urban areas and a rural location. Use of this measure is potentially problematic, however, mainly because of unclear “rural” definitions across different cities. An alternative metric is proposed—surface temperature cooling/warming rates—that directly measures how variations in land-use and land cover (LULC) affect temperatures for a specific urban area. In this study, the impact of local-scale (<1 km2), historical LULC change was examined on near-surface nocturnal meteorological station temperatures sited within metropolitan Phoenix, Arizona, for 1) urban versus rural areas, 2) areas that underwent rural-to-urban transition over a 20-yr period, and 3) different seasons. Temperature data were analyzed during ideal synoptic conditions of clear and calm weather that do not inhibit surface cooling and that also qualified with respect to measured near-surface wind impacts. Results indicated that 1) urban areas generally observed lower cooling-rate magnitudes than did rural areas, 2) urbanization significantly reduced cooling rates over time, and 3) mean cooling-rate magnitudes were typically larger in summer than in winter. Significant variations in mean nocturnal urban wind speeds were also observed over time, suggesting a possible UHI-induced circulation system that may have influenced local-scale station cooling rates.

Generating long-term high-resolution land-use change datasets for regional climate modeling in CORDEX domains

2021 ◽  
Author(s):  
Peter Hoffmann ◽  
Diana Rechid ◽  
Vanessa Reinhart ◽  
Christina Asmus ◽  
Edouard L. Davin ◽  
...  
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Use Change ◽  
Land Cover ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
Local Scale ◽  
Modeling Studies

&lt;p&gt;Land-use and land cover (LULC) are continuously changing due to environmental changes and anthropogenic activities. Many observational and modeling studies show that LULC changes are important drivers altering land surface feedbacks and land-atmosphere exchange processes that have substantial impact on climate on the regional and local scale. Yet, most long-term regional climate modeling studies do not account for these changes. Therefore, within the WCRP CORDEX Flagship Pilot Study LUCAS (Land Use Change Across Scales) a new workflow was developed to generate high-resolution annual land cover change time series based on past reconstructions and future projections. First, the high-resolution global land cover dataset ESA-CCI LC (~300 m resolution) is aggregated and converted to a 0.1&amp;#176; resolution, fractional plant functional type (PFT) dataset. Second, the land use change information from the land-use harmonized dataset (LUH2), provided at 0.25&amp;#176; resolution as input for CMIP6 experiments, is translated into PFT changes employing a newly developed land use translator (LUT). The new LUT was first applied to the EURO-CORDEX domain. The resulting LULC maps for past and future - the LUCAS LUC dataset - can be applied as land use forcing to the next generation RCM simulations for downscaling CMIP6 by the EURO-CORDEX community and in the framework of FPS LUCAS. The dataset includes land cover and land management practices changes important for the regional and local scale such as urbanization and irrigation. The LUCAS LUC workflow is applied to further CORDEX domains, such as Australasia and North America. The resulting past and future land cover changes will be presented, and challenges regarding the application of the new workflow to different regions will be addressed. In addition, issues related to the implementation of the dataset into different RCMs will be discussed.&lt;/p&gt;

Spatiotemporal Pattern Analysis of Rapid Urban Expansion Using GIS and Remote Sensing

2010 ◽  
Vol 1 (2) ◽  
pp. 55-70 ◽  
Author(s):  
Hyun Joong Kim
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Growth ◽  
Urban Areas ◽  
Temporal Dynamics ◽  
Urban Expansion ◽  
Local Scale ◽  
Spatiotemporal Pattern ◽  
Land Use Land Cover ◽  
Modeling Studies

Rapidly growing urban areas tend to reveal distinctive spatial and temporal variations of land use/land cover in a locally urbanized environment. In this article, the author analyzes urban growth phenomena at a local scale by employing Geographic Information Systems, remotely sensed image data from 1984, 1994, and 2004, and landscape shape index. Since spatial patterns of land use/land cover changes in small urban areas are not fully examined by the current GIS-based modeling studies or simulation applications, the major objective of this research is to identify and examine the spatial and temporal dynamics of land use changes of urban growth at a local scale. Analytical results demonstrate that sizes, locations, and shapes of new developments are spatio-temporally associated with their landscape variations and major transportation arteries. The key findings from this study contribute to GIS-based urban growth modeling studies and urban planning practices for local communities.

Land take in the Italian Alps

2014 ◽  
Vol 25 (4) ◽  
pp. 407-420 ◽  
Author(s):  
Stefano Salata
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Land Use Changes ◽  
Local Scale ◽  
Land Resource ◽  
Ecological Compensation ◽  
Content Type ◽  
Soil Sealing ◽  
Alpine Regions ◽  
Land Use Decisions

Purpose – Land use change in the Alpine Regions is dominated by two main factors: a process of re-naturalization and a process of expansion for settlements with the relevant occupation of low-valley areas. The purpose of this paper is to present an overview of land take measures in the Lombardy Alpine context and the recent proposals of spatial planning instruments for land resource management. New solutions to limit soil sealing have to be confronted with qualitative proposals at local scale. Design/methodology/approach – The paper collects different research outputs regarding land take in the Italian Alpine context and carried out by GIS software and tries to show the new methodologies available for limiting and mitigating soil sealing, in accordance with DIAMONT aims. Findings – The paper argues that the data are now available to analyze the problem and new operative methods have to be settled in the recent context of European Union (Soil Sealing Guidelines) to support decision making in planning, suggesting land use allocation and possible ecological compensation. Research limitations/implications – The new qualitative decision models have to be assessed for a better ecological integration in supporting land use decisions. Practical implications – An evaluation of land take at local scale caused by land use changes is a good support in the decision-making process of planning. Originality/value – In this paper a method based on a local scale is reported, which can be used for the specific assessment of land take in order to support land-use decisions.

scholarly journals Planning with Goal Programming: A Case Study for Multiple-Use of Forested Land

1982 ◽  
Vol 58 (5) ◽  
pp. 225-232 ◽  
Author(s):  
Paul A. Arp ◽  
Daniel R. Lavigne
Keyword(s):  
Land Use ◽  
Goal Programming ◽  
Land Use Planning ◽  
Timber Harvesting ◽  
Multiple Use ◽  
Type Of Land Use ◽  
Land Use Policies ◽  
Planning Horizons ◽  
General Goal

A case study is provided to develop and demonstrate a general goal programming procedure for hierarchical multiple land-use planning of forested lands with variable planning horizons. Four land-use policies containing timber harvesting, dispersed recreation, developed recreation, hunting and wildlife management are considered for a parcel of land incorporating 11,070 ha. The goals for each type of land-use are analyzed in terms of land-use capability coefficients, various priority settings, and planning horizons spanning from 2 to 36 years. It is shown that multiple-use conflicts can be resolved by either changing the priorities associated with conflicting uses, and (or) by extending planning horizons from short- to medium-term or long-term. Key Words: Land-use planning, multiple-use, goal programming, timber, developed and dispersed recreation, hunting, wildlife.

scholarly journals Assessing changes on urban flood vulnerability through mapping land use from historical information

2015 ◽  
Vol 12 (6) ◽  
pp. 6151-6177 ◽  
Author(s):  
M. Boudou ◽  
B. Danière ◽  
M. Lang
Keyword(s):  
Land Use ◽  
Flood Risk ◽  
Local Scale ◽  
Flood Events ◽  
Historical Sources ◽  
Flood Vulnerability ◽  
Urban Flood ◽  
Xxth Century ◽  
Historical Information ◽  
Significant Events

Abstract. This paper presents a diachronic appraisal of flood vulnerability of two French cities, respectively Besançon and Moissac, which have been largely impacted by two ancient floods in January 1910 and March 1930. Both flood events figured among the most significant events recorded in France during the XXth century. An analysis of historical sources allows the mapping of land use and occupation within the flood extent of the two historical floods, both in past and present contexts. It gives an insight of the complexity of flood risk evolution, at a local scale.

scholarly journals Soil organic matter and labile fractions depend on specific local parameter combinations

2021 ◽  
Author(s):  
Malte Ortner ◽  
Michael Seidel ◽  
Sebastian Semella ◽  
Thomas Udelhoven ◽  
Michael Vohland ◽  
...  
Keyword(s):  
Land Use ◽  
Organic Matter ◽  
Soil Organic Matter ◽  
Soil Texture ◽  
Local Scale ◽  
Parent Material ◽  
Hot Water ◽  
Mixed Effect ◽  
Mixed Effect Models ◽  
Specific Parameter

Abstract. Soil organic matter (SOM) is an indispensable component of terrestrial ecosystems. Soil organic carbon (SOC) dynamics are influenced by a number of well-known abiotic factors such as clay content, soil pH or pedogenic oxides. These parameters interact with each other and vary in their influence on SOC depending on local conditions. To investigate the latter, the dependence of SOC accumulation on parameters and parameter combinations was statistically assessed that vary on a local scale depending on parent material, soil texture class and land use. To this end, topsoils were sampled from arable and grassland sites in southwestern Germany at four regions with different soil parent material. Principal component analysis (PCA) revealed a distinct clustering of data according to parent material and soil texture that varied largely between the local sampling regions, while land use explained PCA results only to a small extent. The obtained global and the different local clusters of the dataset were further analyzed for the relationships between SOC and mineral phase parameters in order to assess specific parameter combinations explaining SOC and its labile fractions. Analyses were focused on soil parameters that are known as possible predictors for the occurrence and stabilization of SOC (e.g. fine silt plus clay and pedogenic oxides). Regarding the global dataset, we found significant correlations between SOC and its labile fractions hot water-extractable C (HWEC) and microbial biomass C (MBC), respectively and the predictors, yet correlation coefficients were partially low. Mixed effect models were used to identify specific parameter combinations that significantly explain SOC and its labile fractions of the different clusters. Comparing measured and mixed effect models-predicted SOC values revealed acceptable to very good regression coefficients (R² = 0.41–0.91). Thereby, the predictors and predictor combinations clearly differed between models obtained for the whole data set and the different cluster groups. At a local scale site specific combinations of parameters explained the variability of organic matter notably better, while the application of global models to local clusters resulted in less sufficient performance. Independent from that, the overall explained variance generally decreased in the order SOC > HWEC > MBC, showing that labile fractions depend less on soil properties than on organic matter input and turnover in soil.

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